Research Article

Forecasting Iran’s Energy Demand Using Cuckoo Optimization Algorithm

Table 4

Comparison of the COA estimation models for energy consumption in the testing period (2009–2013).

Years20092010201120122013Average

Actual dataa1158.3111134.8741184.6211182.0551229.75
COA-linear model 11146.6731167.8961175.3861199.4471221.124
Relative error (%)−1.014952.8275−0.785651.4499−0.70631.3568
COA-linear model 21152.3471140.2041175.3861185.4871192.07
Relative error (%)−0.51750.4674−0.78560.2894−3.16081.0441
COA-linear model 31150.0781161.6541166.081198.5391217.719
Relative error (%)−0.71592.3053−1.59001.3753−0.98791.3948
COA-linear model 41160.2921134.9831179.1321196.3831208.753
Relative error (%)0.17070.0096−0.46551.1975−1.73700.716
COA-power model 11137.481158.931165.6261204.11235.424
Relative error (%)−1.83132.0757−1.62951.83080.45931.5653
COA-power model 21152.5741125.2011124.2011174.2521195.248
Relative error (%)−0.49772−0.9493−5.3744−0.6645−2.88652.0745
COA-power model 31161.991160.0651163.9241217.3791220.67
Relative error (%)0.31692.1715−1.77822.9015−0.74381.5824
COA-power model 41129.4221208.981265.6131230.6571216.13
Relative error (%)−2.55786.12966.39943.9492−1.11984.0311

aActual data are in million barrel oil equivalent (Mboe).